Open AccessReal-time analysis as an alternative for diagnosis and control of vehicle emissions in the province of Ocaña, Colombia
Author(s) -
D. M. Valdés-Solano,
L C Fonseca-Herreño,
J. M. Alba-Maldonado
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1409/1/012007
Subject(s) - greenhouse gas , microcontroller , control (management) , arduino , control unit , automotive engineering , exhaust gas , unit (ring theory) , monitoring and control , reduction (mathematics) , environmental science , computer science , environmental economics , engineering , control engineering , waste management , embedded system , economics , ecology , mathematics education , mathematics , geometry , artificial intelligence , biology , operating system
In Colombia, the increasing use of motorcycles as an informal conveyance has emerge as a means of labor survival for people with limited resources. Mototaxism has rapidly become the main means of transport in the spatial structure of the city of Ocaña; however, high emission rates may present an environmental problem. The study and implementation of strategies for the mitigation of greenhouse gas, is of great help for the reduction of the emissions of these gases. Environmental control of vehicles in Colombia is carried out through an annual technical-mechanical and gas inspection, which seeks to control the emission of pollutant gases from vehicles; however, electrochemical gas sensors may provide an accurate and convenient alternative, as it can be implemented as an analytic tool in gas monitoring and control systems allowing different approaches for the control of vehicle exhaust emissions. A development board such as Arduino can be programmed with an algorithm that utilizes a combination of sensors and connectivity modules, constituting a microcontroller unit that is able to achieve successful monitoring over emission gases, one such algorithm is proposed by the authors.